{"title":"3D data generation of manholes from single panoramic inspection images","authors":"Mizuki Tabata, Kazuaki Watanabe, Junichiro Tamamatsu","doi":"10.1111/mice.13496","DOIUrl":null,"url":null,"abstract":"Infrastructure facilities require proper maintenance, including diagnosing structural durability and determining appropriate repair methods. Structural analysis is widely used to assess structural conditions, necessitating three‐dimensional (3D) data that accurately reflect the locations of deterioration. Therefore, we investigate a method to generate 3D data of manholes from single‐shot panoramic inspection images, focusing on accurately mapping the condition of wall surfaces, the primary targets of manhole inspections, including their deterioration such as rebar corrosion. However, some areas of the wall are occasionally occluded by internal objects such as cables or adjacent walls, making accurate layout estimation and 3D reconstruction difficult. To address this issue, we propose a model that incorporates 3D data generated from design drawings as additional input, along with a post‐processing method to adjust the estimated layout based on geometry in the drawings. The evaluation results show that our method improves 3D IoU accuracy, especially under occluded conditions. Moreover, with a mapping error of 14.3 cm in the reconstructed 3D data, our approach demonstrates its practical potential for use in the structural analysis of most manholes.","PeriodicalId":156,"journal":{"name":"Computer-Aided Civil and Infrastructure Engineering","volume":"77 1","pages":""},"PeriodicalIF":8.5000,"publicationDate":"2025-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer-Aided Civil and Infrastructure Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1111/mice.13496","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
Infrastructure facilities require proper maintenance, including diagnosing structural durability and determining appropriate repair methods. Structural analysis is widely used to assess structural conditions, necessitating three‐dimensional (3D) data that accurately reflect the locations of deterioration. Therefore, we investigate a method to generate 3D data of manholes from single‐shot panoramic inspection images, focusing on accurately mapping the condition of wall surfaces, the primary targets of manhole inspections, including their deterioration such as rebar corrosion. However, some areas of the wall are occasionally occluded by internal objects such as cables or adjacent walls, making accurate layout estimation and 3D reconstruction difficult. To address this issue, we propose a model that incorporates 3D data generated from design drawings as additional input, along with a post‐processing method to adjust the estimated layout based on geometry in the drawings. The evaluation results show that our method improves 3D IoU accuracy, especially under occluded conditions. Moreover, with a mapping error of 14.3 cm in the reconstructed 3D data, our approach demonstrates its practical potential for use in the structural analysis of most manholes.
期刊介绍:
Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms.
Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.